{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T18:10:00Z","timestamp":1782411000718,"version":"3.54.5"},"reference-count":203,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2012,7,19]],"date-time":"2012-07-19T00:00:00Z","timestamp":1342656000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2012,8]]},"DOI":"10.1007\/s11432-012-4633-4","type":"journal-article","created":{"date-parts":[[2012,7,19]],"date-time":"2012-07-19T00:44:05Z","timestamp":1342658645000},"page":"1722-1754","source":"Crossref","is-referenced-by-count":163,"title":["Sparse microwave imaging: Principles and applications"],"prefix":"10.1007","volume":"55","author":[{"given":"BingChen","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen","family":"Hong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"YiRong","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2012,7,19]]},"reference":[{"key":"4633_CR1","volume-title":"Synthetic Aperture Radar: Systems and Signal Processing","author":"J. C. Curlander","year":"1991","unstructured":"Curlander J C, McDonough R N. Synthetic Aperture Radar: Systems and Signal Processing. New York: Wiley, 1991"},{"key":"4633_CR2","volume-title":"Manual of Remote Sensing","author":"F. M. Henderson","year":"1998","unstructured":"Henderson F M, Lewis A J. Principles and applications of imaging radar. In: Manual of Remote Sensing. New York: John Wiley and Sons, 1998"},{"key":"4633_CR3","unstructured":"Wiley C, Ariz P. Pulsed Doppler Radar Methods and Apparatus. US Patent 3,196,436. 1965"},{"key":"4633_CR4","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1109\/TAES.1985.310578","volume":"21","author":"C. A. Wiley","year":"1985","unstructured":"Wiley C A. Synthetic aperture radars: a paradigm for technology evolution. IEEE Trans Aerosp Electron Syst, 1985: 21: 440\u2013443","journal-title":"IEEE Trans Aerosp Electron Syst"},{"key":"4633_CR5","unstructured":"Wikipedia. Synthetic Aperture Radar. https:\/\/en.wikipedia.org\/wiki\/Synthetic_aperture_radar"},{"key":"4633_CR6","unstructured":"NASA. Missions-Seasat 1. http:\/\/science.nasa.gov\/missions\/seasat-1\/"},{"key":"4633_CR7","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1109\/JOE.1980.1145451","volume":"5","author":"R. L. Jordan","year":"1980","unstructured":"Jordan R L. The Seasat-A synthetic aperture radar system. IEEE J Ocean Eng, 1980, 5: 154\u2013164","journal-title":"IEEE J Ocean Eng"},{"key":"4633_CR8","unstructured":"CSA. CSA: RadarSat-1. http:\/\/www.asc-csa.gc.ca\/eng\/satellites\/radarsat1\/"},{"key":"4633_CR9","unstructured":"DLR. TerraSAR-X-Germany\u2019s radar eye in space. http:\/\/www.dlr.de\/eo\/en\/desktopdefault.aspx\/tabid-5725\/9296_read-15979\/"},{"key":"4633_CR10","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4613-1333-5","volume-title":"Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach","author":"C. V. Jakowatz","year":"1996","unstructured":"Jakowatz C V, Wahl D E, Eichel P H, et al. Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach. Norwell: Kluwer Academic Publishers, 1996"},{"key":"4633_CR11","doi-asserted-by":"crossref","DOI":"10.1201\/9781439808139","volume-title":"Imaging with Synthetic Aperture Radar","author":"D. Massonnet","year":"2008","unstructured":"Massonnet D, Souyris J C. Imaging with Synthetic Aperture Radar. Lausanne: EFPL Press, 2008"},{"key":"4633_CR12","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MSPEC.1969.5213674","volume":"6","author":"W. M. Brown","year":"1969","unstructured":"Brown W M, Porcello L J. An introduction to synthetic-aperture radar. IEEE Spectrum, 1969, 6: 52\u201362","journal-title":"IEEE Spectrum"},{"key":"4633_CR13","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1109\/IRET-MIL.1962.5008415","volume":"1051","author":"C. W. Sherwin","year":"1962","unstructured":"Sherwin C W, Ruina J P, Rawcliffe R D. Some early developments in synthetic aperture radar systems. IRE Trans Military Electron, 1962, 1051: 111\u2013115","journal-title":"IRE Trans Military Electron"},{"key":"4633_CR14","first-page":"82","volume":"86","author":"G. E. Moore","year":"1998","unstructured":"Moore G E. Cramming more components onto integrated circuits. Electron Mag, 1998, 86: 82\u201385","journal-title":"Electron Mag"},{"key":"4633_CR15","volume-title":"Probability and Information Theory, with Application to Radar","author":"P. M. Woodward","year":"1953","unstructured":"Woodward P M. Probability and Information Theory, with Application to Radar. New York: Pergamon, 1953"},{"key":"4633_CR16","volume-title":"Radar Signals-An Introduction to Theory and Application","author":"C. E. Cook","year":"1993","unstructured":"Cook C E, Bernfeld M. Radar Signals-An Introduction to Theory and Application. Norwood: Artech House, 1993"},{"key":"4633_CR17","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1109\/T-AIEE.1928.5055024","volume":"47","author":"H. Nyquist","year":"1928","unstructured":"Nyquist H. Certain topics in telegraph transmission theory. Trans Amer Inst Electr Engin, 1928, 47: 617\u2013644","journal-title":"Trans Amer Inst Electr Engin"},{"key":"4633_CR18","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1109\/JRPROC.1949.232969","volume":"37","author":"C. E. Shannon","year":"1949","unstructured":"Shannon C E. Communication in the presence of noise. Proc IRE, 1949, 37: 10\u201321","journal-title":"Proc IRE"},{"key":"4633_CR19","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1109\/JPROC.2010.2047424","volume":"98","author":"R. G. Baraniuk","year":"2010","unstructured":"Baraniuk R G, Cand\u00e8s E, Elad M, et al. Applications of sparse representation and compressive sensing. Proc IEEE, 2010, 98: 906\u201309","journal-title":"Proc IEEE"},{"key":"4633_CR20","volume-title":"History of Western Philosophy","author":"B. Russell","year":"1946","unstructured":"Russell B. History of Western Philosophy. London: George Allen & Unwin Ltd, 1946"},{"key":"4633_CR21","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"D. L. Donoho","year":"2006","unstructured":"Donoho D L. Compressed Sensing. IEEE Trans Inf Theory, 2006. 52: 1289\u20131306","journal-title":"IEEE Trans Inf Theory"},{"key":"4633_CR22","doi-asserted-by":"crossref","first-page":"5406","DOI":"10.1109\/TIT.2006.885507","volume":"52","author":"E. J. Cand\u00e8s","year":"2006","unstructured":"Cand\u00e8s E J, Tao T. Near-optimal signal recovery from random projections: Universal encoding strategies? IEEE Trans Inf Theory, 2006, 52: 5406\u20135425","journal-title":"IEEE Trans Inf Theory"},{"key":"4633_CR23","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1002\/cpa.20124","volume":"59","author":"E. J. Cand\u00e8s","year":"2006","unstructured":"Cand\u00e8s E J, Romberg J K, Tao T. Stable signal recovery from incomplete and inaccurate measurements. Commun Pure Appl Math, 2006, 59: 1207\u20131223","journal-title":"Commun Pure Appl Math"},{"key":"4633_CR24","doi-asserted-by":"crossref","first-page":"2889","DOI":"10.1109\/TIP.2010.2049927","volume":"19","author":"S. Mallat","year":"2010","unstructured":"Mallat S, Yu G. Super-resolution with sparse mixing estimators. IEEE Trans Image Process, 2010, 19: 2889\u20132900","journal-title":"IEEE Trans Image Process"},{"key":"4633_CR25","doi-asserted-by":"crossref","unstructured":"Zhang Y, Mei S, Chen Q, et al. A novel image\/video coding method based on compressed sensing theory. In: Proc of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas, 2008. 1361\u20131364","DOI":"10.1109\/ICASSP.2008.4517871"},{"key":"4633_CR26","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.1109\/TSP.2009.2038424","volume":"58","author":"C. R. Berger","year":"2010","unstructured":"Berger C R, Zhou S, Preisig J, et al. Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing. IEEE Trans Signal Process, 2010, 58: 1708\u20131721","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR27","doi-asserted-by":"crossref","unstructured":"Baraniuk R, Steeghs P. Compressive radar imaging. In: Proc of IEEE Radar Conference, Boston, 2007. 128\u2013133","DOI":"10.1109\/RADAR.2007.374203"},{"key":"4633_CR28","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1109\/JSTSP.2009.2039181","volume":"4","author":"V. M. Patel","year":"2010","unstructured":"Patel V M, Easley G R, Healy D, et al. Compressed synthetic aperture radar. IEEE J Sel Top Signal Process, 2010, 4: 244\u2013254","journal-title":"IEEE J Sel Top Signal Process"},{"key":"4633_CR29","doi-asserted-by":"crossref","first-page":"1402","DOI":"10.1016\/j.sigpro.2009.11.009","volume":"90","author":"J. H. G. Ender","year":"2010","unstructured":"Ender J H G. On compressive sensing applied to radar. Signal Process, 2010, 90: 1402\u20131414","journal-title":"Signal Process"},{"key":"4633_CR30","unstructured":"Wu Y R. Studies on theory, system, and methodology of Sparse Microwave Imaging. Statement Tasks and Project Plan of 973 Program: 2009"},{"key":"4633_CR31","volume-title":"Digital Signal Processing of Synthetic Aperture Radar Data: Algorithms and Implementation","author":"I. G. Cumming","year":"2004","unstructured":"Cumming I G, Wong F H. Digital Signal Processing of Synthetic Aperture Radar Data: Algorithms and Implementation. Norwood: Artech House, 2004"},{"key":"4633_CR32","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1109\/36.298008","volume":"32","author":"R. K. Raney","year":"1994","unstructured":"Raney R K, Runge H, Bamler R, et al. Precision SAR processing using chirp scaling. IEEE Trans Geosci Remote Sens, 1994, 32: 786\u2013799","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR33","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1109\/36.158864","volume":"30","author":"R. Bamler","year":"1992","unstructured":"Bamler R. A comparison of range-Doppler and wavenumber domain SAR focusing algorithms. IEEE Trans Geosci Remote Sens, 1992, 30: 706\u2013713","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR34","doi-asserted-by":"crossref","first-page":"1760","DOI":"10.1109\/83.869187","volume":"9","author":"S. Basu","year":"2000","unstructured":"Basu S, Bresler Y. O(N 2 log2 N) filtered backprojection reconstruction algorithm for tomography. IEEE Trans Image Process, 2000, 9: 1760\u20131773","journal-title":"IEEE Trans Image Process"},{"key":"4633_CR35","unstructured":"Xiao S, Munson Jr D C, Basu S, et al. An N 2 logN back-projection algorithm for SAR image formation. In: Conference Record of Asilomar Conference on Signals, Systems and Computers (ACSSC), Pacific Grove, 2000"},{"key":"4633_CR36","doi-asserted-by":"crossref","unstructured":"Suess M, Grafm\u00fcller B, Zahn R. A novel high resolution, wide swath SAR system.In: Proc of IEEE International Geoscience and Remoye Sensing Symposium (IGARSS), Sydney, 2001. 1013\u20131015","DOI":"10.1109\/IGARSS.2001.976731"},{"key":"4633_CR37","unstructured":"Suess M. Side-Looking Synthetic Aperture Radar System. European Patent 1,241,487. 2006"},{"key":"4633_CR38","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1049\/ip-f-2.1992.0016","volume":"139","author":"A. Currie","year":"1992","unstructured":"Currie A, Brown M A. Wide-swath SAR. IEE Proc F Radar Signal Process, 1992, 139: 122\u2013135","journal-title":"IEE Proc F Radar Signal Process"},{"key":"4633_CR39","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4419-7011-4","volume-title":"Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing","author":"M. Elad","year":"2010","unstructured":"Elad M. Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing. New York: Springer, 2010"},{"key":"4633_CR40","doi-asserted-by":"crossref","first-page":"3397","DOI":"10.1109\/78.258082","volume":"41","author":"S. G. Mallat","year":"1993","unstructured":"Mallat S G, Zhang Z. Matching pursuits with time-frequency dictionaries. IEEE Trans Signal Process, 1993, 41: 3397\u20133415","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR41","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1137\/S1064827596304010","volume":"20","author":"S. S. Chen","year":"1999","unstructured":"Chen S S, Donoho D L, Saunders M A. Atomic decomposition by basis pursuit. SIAM J Sci Comput, 1999, 20: 33\u201361","journal-title":"SIAM J Sci Comput"},{"key":"4633_CR42","doi-asserted-by":"crossref","first-page":"4203","DOI":"10.1109\/TIT.2005.858979","volume":"51","author":"E. J. Cand\u00e8s","year":"2005","unstructured":"Cand\u00e8s E J, Tao T. Decoding by linear programming. IEEE Trans Inf Theory, 2005, 51: 4203\u20134215","journal-title":"IEEE Trans Inf Theory"},{"key":"4633_CR43","doi-asserted-by":"crossref","first-page":"2313","DOI":"10.1214\/009053606000001523","volume":"35","author":"E. Cand\u00e8s","year":"2007","unstructured":"Cand\u00e8s E, Tao T. The Dantzig selector: Statistical estimation when p is much larger than n. The Annal Stat, 2007, 35: 2313\u20132351","journal-title":"The Annal Stat"},{"key":"4633_CR44","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1109\/TIT.2005.862083","volume":"52","author":"E. J. Cand\u00e8s","year":"2006","unstructured":"Cand\u00e8s E J, Romberg J, Tao T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory, 2006, 52: 489\u2013509","journal-title":"IEEE Trans Inf Theory"},{"key":"4633_CR45","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1088\/0266-5611\/23\/3\/008","volume":"23","author":"E. Cand\u00e8s","year":"2007","unstructured":"Cand\u00e8s E, Romberg J. Sparsity and incoherence in compressive sampling. Inverse Problem, 2007, 23: 969\u2013985","journal-title":"Inverse Problem"},{"key":"4633_CR46","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1016\/j.sigpro.2005.05.029","volume":"86","author":"Y. Tsaig","year":"2006","unstructured":"Tsaig Y, Donoho D L. Extensions of compressed sensing. Signal Process, 2006, 86: 549\u2013571","journal-title":"Signal Process"},{"key":"4633_CR47","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1126\/science.1197448","volume":"331","author":"R. G. Baraniuk","year":"2011","unstructured":"Baraniuk R G. More is less: Signal processing and the data deluge. Science, 2011, 331: 717\u2013719","journal-title":"Science"},{"key":"4633_CR48","volume-title":"Distributed Compressed Sensing","author":"D. Baron","year":"2005","unstructured":"Baron D, Wakin M B, Duarte M F, et al. Distributed Compressed Sensing. Technical Report. Rice: Rice University, 2005, http:\/\/dsp.rice.edu\/cs\/"},{"key":"4633_CR49","unstructured":"Duarte M F, Sarvotham S, Baron D, et al. Distributed compressed sensing of jointly sparse signals. In: Conference Record of Asilomar Conference on Signals, Systems and Computers (ACSSC), Pacific Grove, 2005. 1537\u20131541"},{"key":"4633_CR50","unstructured":"Zhang Z, Zhang B C, Hong W, et al. Waveform design for Lq regularization based radar imaging and an approach to radar imaging with non-moving platform. In: Proc of European Conference on Synthetic Aperture Radar (EuSAR), Nuremberg, 2012"},{"key":"4633_CR51","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1109\/T-C.1974.223784","volume":"100","author":"N. Ahmed","year":"1974","unstructured":"Ahmed N, Natarajan T, Rao K R. Discrete cosine transform. IEEE Trans Comput, 1974, 100: 90\u201393","journal-title":"IEEE Trans Comput"},{"key":"4633_CR52","volume-title":"Ten Lectures on Wavelets","author":"I. Daubechies","year":"2006","unstructured":"Daubechies I. Ten Lectures on Wavelets. Philadelphia: SIAM Publications, 2006"},{"key":"4633_CR53","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1006\/jfan.1996.3079","volume":"148","author":"A. Ron","year":"1997","unstructured":"Ron A, Shen Z. Affine systems in L 2(d): the analysis of the Analysis operator. J Function Analys, 1997, 148: 408\u2013447","journal-title":"J Function Analys"},{"key":"4633_CR54","doi-asserted-by":"crossref","unstructured":"Velisavljevic V, Dragotti P L, Vetterli M. Directional wavelet transforms and frames. In: Proc of Int Conf Image Processing, Rochester, 2002. 589\u2013592","DOI":"10.1109\/ICIP.2002.1039039"},{"key":"4633_CR55","unstructured":"Cand\u00e8s E J. Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges. Technical Report. DTIC Document, 2000. www.curvelet.org\/papers\/Curve99.pdf"},{"key":"4633_CR56","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1038\/381607a0","volume":"381","author":"B. A. Olshausen","year":"1996","unstructured":"Olshausen B A, Field D J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 1996, 381: 607\u2013609","journal-title":"Nature"},{"key":"4633_CR57","volume-title":"Understanding Synthetic Aperture Radar Images","author":"C. Oliver","year":"2004","unstructured":"Oliver C, Quegan S. Understanding Synthetic Aperture Radar Images. Raleigh: SciTech Publishing, 2004"},{"key":"4633_CR58","doi-asserted-by":"crossref","unstructured":"Tian Y, Jiang C L, Lin Y G, et al. An evaluation method for sparse microwave imaging radar system using phase diagrams. In: Proc of CIE Radar Conference, Chengdu, 2011","DOI":"10.1109\/CIE-Radar.2011.6159513"},{"key":"4633_CR59","unstructured":"Zhang B C, Jiang H, Hong W, et al. Synthetic aperture radar imaging of sparse targets via compressed sensing. In: Proc of 8th European Conference on Synthetic Aperture Radar (EUSAR), Aachen, 2010"},{"key":"4633_CR60","doi-asserted-by":"crossref","unstructured":"Jiang H, Zhang B C, Lin Y G, et al. Random noise SAR based on compressed sensing. In: Proc of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, 2010. 4624\u20134627","DOI":"10.1109\/IGARSS.2010.5651241"},{"key":"4633_CR61","doi-asserted-by":"crossref","unstructured":"Shastry M C, Narayanan R M, Rangaswamy M. Compressive radar imaging using white stochastic waveforms. In: Proc of International Waveform Diversity and Design Conference (WDD), Niagara Falls, 2010. 90\u201394","DOI":"10.1109\/WDD.2010.5592367"},{"key":"4633_CR62","doi-asserted-by":"crossref","DOI":"10.1007\/b99321","volume-title":"Ergen M. Multi-Carrier Digital Communications: Theory and Applications of OFDM","author":"A. R. S. Bahai","year":"2004","unstructured":"Bahai A R S, Saltzberg B R, Ergen M. Multi-Carrier Digital Communications: Theory and Applications of OFDM. New York, NY: Springer Science and Business Media Inc, 2004"},{"key":"4633_CR63","doi-asserted-by":"crossref","unstructured":"Berger C R, Zhou S, Willett P, et al. Compressed sensing for OFDM\/MIMO radar. In: Conference Record of Asilomar Conference on Signals, Systems and Computers (ACSSC), Pacific Grove, 2008. 213\u2013217","DOI":"10.1109\/ACSSC.2008.5074394"},{"key":"4633_CR64","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1109\/JSTSP.2009.2038977","volume":"4","author":"C. R. Berger","year":"2010","unstructured":"Berger C R, Demissie B, Heckenbach J, et al. Signal processing for passive radar using OFDM waveforms. IEEE J Sel Top Signal Process, 2010, 4: 226\u2013238","journal-title":"IEEE J Sel Top Signal Process"},{"key":"4633_CR65","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1109\/TSP.2002.1003065","volume":"50","author":"M. Vetterli","year":"2002","unstructured":"Vetterli M, Marziliano P, Blu T. Sampling signals with finite rate of innovation. IEEE Trans Signal Process, 2002, 50: 1417\u20131428","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR66","unstructured":"Healy D. Analog-to-Information (A-to-I). 2005. http:\/\/www.darpa.mil\/mto\/solicitations\/baa05-35\/s\/index.html . dARPA\/MTO Broad Agency Announcement (BAA) #05-35"},{"key":"4633_CR67","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/MSP.2007.914996","volume":"25","author":"D. Healy","year":"2008","unstructured":"Healy D, Brady D J. Compression at the physical interface. IEEE Signal Process Mag, 2008, 25: 67\u201371","journal-title":"IEEE Signal Process Mag"},{"key":"4633_CR68","doi-asserted-by":"crossref","unstructured":"Laska J N, Kirolos S, Duarte M F, et al. Theory and implementation of an analog-to-information converter using random demodulation. In: Proc of IEEE International Symposium on Circuits and Systems (ISCAS), New Orleans, 2007. 1959\u20131962","DOI":"10.1109\/ISCAS.2007.378360"},{"key":"4633_CR69","doi-asserted-by":"crossref","unstructured":"Eldar Y C. Compressed Sensing of Analog Signals. Comput Res Reposit, 2008","DOI":"10.1017\/CBO9780511794308"},{"key":"4633_CR70","unstructured":"Mishali M, Eldar Y C, Elron A. Xampling, Part I: Practice. ArXiv:09110519. 2009. http:\/\/arxiv.org\/pdf\/0911.0519v3"},{"key":"4633_CR71","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1109\/JSTSP.2010.2042414","volume":"4","author":"M. Mishali","year":"2010","unstructured":"Mishali M, Eldar Y C. From theory to practice: Sub-Nyquist sampling of sparse wideband analog signals. IEEE J Sel Top Signal Process, 2010, 4: 375\u2013391","journal-title":"IEEE J Sel Top Signal Process"},{"key":"4633_CR72","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1049\/iet-cds.2010.0147","volume":"5","author":"M. Mishali","year":"2011","unstructured":"Mishali M, Eldar Y, Dounaevsky O, et al. Xampling: Analog to digital at sub-Nyquist rates. IET Circ Dev Syst, 2011, 5: 8\u201320","journal-title":"IET Circ Dev Syst"},{"key":"4633_CR73","doi-asserted-by":"crossref","unstructured":"Mishali M, Eldar Y C. Xampling: Compressed sensing of analog signals. ArXiv:11032960. 2011. http:\/\/arxiv.org\/pdf\/1103.2960","DOI":"10.1017\/CBO9780511794308.004"},{"key":"4633_CR74","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1109\/TIT.2009.2034811","volume":"56","author":"J. A. Tropp","year":"2010","unstructured":"Tropp J A, Laska J N, Duarte M F, et al. Beyond Nyquist: Efficient sampling of sparse bandlimited signals. IEEE Trans Inf Theory, 2010, 56: 520\u2013544","journal-title":"IEEE Trans Inf Theory"},{"key":"4633_CR75","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1109\/TIT.1962.1057717","volume":"8","author":"A. Balakrishnan","year":"1962","unstructured":"Balakrishnan A. On the problem of time jitter in sampling. IRE Trans Inform Theory, 1962, 8: 226\u2013236","journal-title":"IRE Trans Inform Theory"},{"key":"4633_CR76","doi-asserted-by":"crossref","first-page":"1876","DOI":"10.1007\/s11432-012-4590-y","volume":"55","author":"J. P. Sun","year":"2012","unstructured":"Sun J P, Zhang Y X, Chen Z B, et al. A novel spaceborne SAR wide-swath imaging approach based on Poisson disk-like nonuniform sampling and compressive sensing. Sci China Inf Sci, 2012, 55: 1876\u20131887","journal-title":"Sci China Inf Sci"},{"key":"4633_CR77","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/MSP.2007.914731","volume":"252","author":"E. J. Cand\u00e8s","year":"2008","unstructured":"Cand\u00e8s E J, Wakin M B. An introduction to compressive sampling. IEEE Signal Process Mag, 2008, 25, 2: 21\u201330","journal-title":"IEEE Signal Process Mag"},{"key":"4633_CR78","unstructured":"Carrara W G, Goodman R S, Majewski R M. Spotlight Synthetic Aperture Radar-Signal Processing Algorithms. Norwood, 1995"},{"key":"4633_CR79","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1049\/ip-rsn:19960790","volume":"143","author":"D. P. Belcher","year":"1996","unstructured":"Belcher D P, Baker C J. High resolution processing of hybrid strip-map\/spotlight mode SAR. IEE Proc Radar Sonar Nav, 1996, 143: 366\u2013374","journal-title":"IEE Proc Radar Sonar Nav"},{"key":"4633_CR80","doi-asserted-by":"crossref","unstructured":"Mittermayer J, Lord R, Borner E. Sliding spotlight SAR processing for TerraSAR-X using a new formulation of the extended chirp scaling algorithm. In: Proc of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Toulouse, 2003. 1462\u20131464","DOI":"10.1109\/IGARSS.2003.1294144"},{"key":"4633_CR81","doi-asserted-by":"crossref","first-page":"2352","DOI":"10.1109\/TGRS.2006.873853","volume":"44","author":"F. Zan De","year":"2006","unstructured":"De Zan F, Guarnieri A M. TOPSAR: Terrain observation by progressive scans. IEEE Trans Geosci Remote Sens, 2006, 44: 2352\u20132360","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR82","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1109\/JPROC.2010.2044010","volume":"98","author":"J. A. Tropp","year":"2010","unstructured":"Tropp J A, Wright S J. Computational methods for sparse solution of linear inverse problems. Proc IEEE, 2010, 98: 948\u2013958","journal-title":"Proc IEEE"},{"key":"4633_CR83","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1109\/JSTSP.2007.910971","volume":"1","author":"S. J. Kim","year":"2007","unstructured":"Kim S J, Koh K, Lustig M, et al. An interior-point method for large-scale l1-regularized least squares. IEEE J Sel Top Signal Process, 2007, 1: 606\u2013617","journal-title":"IEEE J Sel Top Signal Process"},{"key":"4633_CR84","unstructured":"Cand\u00e8s E, Romberg J. l1-magic: Recovery of sparse signals via convex Programming. 2005. www.acm.caltech.edu\/l1magic\/downloads\/l1magic.pdf"},{"key":"4633_CR85","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1109\/JSTSP.2007.910281","volume":"1","author":"M. A. T. Figueiredo","year":"2007","unstructured":"Figueiredo M A T, Nowak R D, Wright S J. Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems. IEEE J Sel Top Signal Process, 2007, 1: 586\u2013597","journal-title":"IEEE J Sel Top Signal Process"},{"key":"4633_CR86","doi-asserted-by":"crossref","first-page":"890","DOI":"10.1137\/080714488","volume":"31","author":"E. Berg Van Den","year":"2008","unstructured":"Van Den Berg E, Friedlander M. Probing the Pareto frontier for basis pursuit solutions. SIAM J Sci Comput, 2008, 31: 890\u2013912","journal-title":"SIAM J Sci Comput"},{"key":"4633_CR87","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.1002\/cpa.20042","volume":"57","author":"I. Daubechies","year":"2004","unstructured":"Daubechies I, Defrise M, De Mol C. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Commun Pure Appl Math, 2004, 57: 1413\u20131457","journal-title":"Commun Pure Appl Math"},{"key":"4633_CR88","doi-asserted-by":"crossref","unstructured":"Bioucas-Dias J M, Figueiredo M A T. Two-step algorithms for linear inverse problems with non-quadratic regularization. In: Proc of IEEE Int Conf Image Processing, San Antonio, 2007","DOI":"10.1109\/ICIP.2007.4378902"},{"key":"4633_CR89","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1137\/080716542","volume":"2","author":"A. Beck","year":"2009","unstructured":"Beck A, Teboulle M. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J Imag Sci, 2009, 2: 183\u2013202","journal-title":"SIAM J Imag Sci"},{"key":"4633_CR90","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1137\/070703983","volume":"1","author":"W. Yin","year":"2008","unstructured":"Yin W, Osher S, Goldfarb D, et al. Bregman iterative algorithms for L1-minimization with applications to compressed sensing. SIAM J Imag Sci, 2008, 1: 143\u2013168","journal-title":"SIAM J Imag Sci"},{"key":"4633_CR91","doi-asserted-by":"crossref","unstructured":"Hale E T, Yin W, Zhang Y. Fixed-point continuation for L1 minimization: methodology and convergence. SIAM J Optim, 2008: 1107\u20131130","DOI":"10.1137\/070698920"},{"key":"4633_CR92","doi-asserted-by":"crossref","first-page":"170","DOI":"10.4208\/jcm.2009.10-m1007","volume":"28","author":"E. T. Hale","year":"2010","unstructured":"Hale E T, Yin W, Zhang Y. Fixed-point continuation applied to compressed sensing: implementation and numerical experiments. J Comput Math, 2010, 28: 170\u2013194","journal-title":"J Comput Math"},{"key":"4633_CR93","unstructured":"Becker S, Bobin J, Cand\u00e8s E. NESTA: A fast and accurate first-order method for sparse recovery. ArXiv: 09043367, 2009. http:\/\/arxiv.org\/pdf\/0904.3367"},{"key":"4633_CR94","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1007\/s12532-011-0029-5","volume":"3","author":"S. R. Becker","year":"2011","unstructured":"Becker S R, Cand\u00e8s E J, Grant M C. Templates for convex cone problems with applications to sparse signal recovery. Math Program Comput, 2011, 3: 165\u2013218","journal-title":"Math Program Comput"},{"key":"4633_CR95","unstructured":"Yang J, Zhang Y. Alternating direction algorithms for \u2113 1-problems in compressive sensing. ArXiv:09121185, 2009. http:\/\/arxiv.org\/pdf\/0912.1185"},{"key":"4633_CR96","unstructured":"Lu Z, Pong T K, Zhang Y. An Method for Finding Dantzig Selectors. ArXiv: 10114604, 2010. http:\/\/arxiv.org\/pdf\/1011.4604"},{"key":"4633_CR97","volume-title":"Compressed Sensing: Theory and Applications","author":"M. A. Davenport","year":"2012","unstructured":"Davenport M A, Duarte M F, Eldar Y C, et al. Chapter I: Introduction to compressed sensing. In: Compressed Sensing: Theory and Applications. Cambridge: Cambridge University Press, 2012"},{"key":"4633_CR98","doi-asserted-by":"crossref","first-page":"4655","DOI":"10.1109\/TIT.2007.909108","volume":"53","author":"J. A. Tropp","year":"2007","unstructured":"Tropp J A, Gilbert A C. Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans Inf Theory, 2007, 53: 4655\u20134666","journal-title":"IEEE Trans Inf Theory"},{"key":"4633_CR99","unstructured":"Donoho D L, Drori I, Tsaig Y, et al. Sparse Solution of Underdetermined Linear Equations by Stagewise Orthogonal Matching Pursuit. Technical Report. Department of Statistics, Stanford University, 2006. http:\/\/nmetis.dk\/pic\/Speciale\/HenrikPedersen\/Henrik%20Pederse%ns%20Artikler\/Compressed%20Sensing\/Donoho.pdf"},{"key":"4633_CR100","doi-asserted-by":"crossref","first-page":"2370","DOI":"10.1109\/TSP.2007.916124","volume":"56","author":"T. Blumensath","year":"2008","unstructured":"Blumensath T, Davies M E. Gradient pursuits. IEEE Trans Signal Process, 2008, 56: 2370\u20132382","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR101","doi-asserted-by":"crossref","first-page":"2230","DOI":"10.1109\/TIT.2009.2016006","volume":"55","author":"W. Dai","year":"2009","unstructured":"Dai W, Milenkovic O. Subspace pursuit for compressive sensing signal reconstruction. IEEE Trans Inf Theory, 2009, 55: 2230\u20132249","journal-title":"IEEE Trans Inf Theory"},{"key":"4633_CR102","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1109\/JSTSP.2010.2042412","volume":"4","author":"D. Needell","year":"2010","unstructured":"Needell D, Vershynin R. Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit. IEEE J Sel Top Signal Process, 2010, 4: 310\u2013316","journal-title":"IEEE J Sel Top Signal Process"},{"key":"4633_CR103","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/j.acha.2008.07.002","volume":"26","author":"D. Needell","year":"2009","unstructured":"Needell D, Tropp J A. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples. Appl Comput Harmon Analys, 2009, 26: 301\u2013321","journal-title":"Appl Comput Harmon Analys"},{"key":"4633_CR104","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.acha.2009.04.002","volume":"27","author":"T. Blumensath","year":"2009","unstructured":"Blumensath T, Davies M E. Iterative hard thresholding for compressed sensing. Appl Comput Harmon Analys, 2009, 27: 265\u2013274","journal-title":"Appl Comput Harmon Analys"},{"key":"4633_CR105","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1109\/LSP.2007.898300","volume":"14","author":"R. Chartrand","year":"2007","unstructured":"Chartrand R. Exact reconstruction of sparse signals via nonconvex minimization. IEEE Signal Process Lett, 2007, 14: 707\u2013710","journal-title":"IEEE Signal Process Lett"},{"key":"4633_CR106","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1109\/78.738251","volume":"47","author":"B. D. Rao","year":"1999","unstructured":"Rao B D, Kreutz-Delgado K. An affine scaling methodology for best basis selection. IEEE Trans Signal Process, 1999, 47: 187\u2013200","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR107","doi-asserted-by":"crossref","unstructured":"Chartrand R, Yin W. Iteratively reweighted algorithms for compressive sensing. In: Conference Record of Asilomar Conference on Signals, Systems and Computers (ACSSC), Pacific Grove, 2008. 3869\u20133872","DOI":"10.1109\/ICASSP.2008.4518498"},{"key":"4633_CR108","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/cpa.20303","volume":"63","author":"I. Daubechies","year":"2010","unstructured":"Daubechies I, DeVore R, Fornasier M, et al. Iteratively reweighted least squares minimization for sparse recovery. Commun Pure Appl Math, 2010, 63: 1\u201338","journal-title":"Commun Pure Appl Math"},{"key":"4633_CR109","unstructured":"Krishnan D, Fergus R. Fast image deconvolution using hyper-Laplacian priors. In: Advances in Neural Information Processing Systems (NIPS), 2009. 1033\u20131041"},{"key":"4633_CR110","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1007\/s11432-010-0090-0","volume":"53","author":"Z. B. Xu","year":"2010","unstructured":"Xu Z B, Zhang H, Wang Y, et al. L 1\/2 regularizer. Sci China Inf Sci, 2010, 53: 1159\u20131169","journal-title":"Sci China Inf Sci"},{"key":"4633_CR111","doi-asserted-by":"crossref","first-page":"2153","DOI":"10.1109\/TSP.2004.831016","volume":"52","author":"D. P. Wipf","year":"2004","unstructured":"Wipf D P, Rao B D. Sparse Bayesian learning for basis selection. IEEE Trans Signal Process, 2004, 52: 2153\u20132164","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR112","doi-asserted-by":"crossref","first-page":"2346","DOI":"10.1109\/TSP.2007.914345","volume":"56","author":"S. Ji","year":"2008","unstructured":"Ji S, Xue Y, Carin L. Bayesian compressive sensing. IEEE Trans Signal Process, 2008, 56: 2346\u20132356","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR113","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1109\/TSP.2008.2005866","volume":"57","author":"S. Ji","year":"2009","unstructured":"Ji S, Dunson D, Carin L. Multitask compressive sensing. IEEE Trans Signal Process, 2009, 57: 92\u2013106","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR114","unstructured":"Babacan S D, Mancera L, Molina R, et al. Non-convex priors in Bayesian compressed sensing. In: Proc of 17th European Signal Processing Conference (EUSIPCO), Glasgow, 2009"},{"key":"4633_CR115","doi-asserted-by":"crossref","unstructured":"Yoon Y S, Amin M G. Compressed sensing technique for high-resolution radar imaging. In: Proc SPIE, 2008. 6968","DOI":"10.1117\/12.777175"},{"key":"4633_CR116","doi-asserted-by":"crossref","unstructured":"Stojanovic I, Karl W C, \u00c7etin M. Compressed sensing of monostatic and multistatic SAR. In: Proc SPIE, 2009. 7337","DOI":"10.1117\/12.818808"},{"key":"4633_CR117","doi-asserted-by":"crossref","first-page":"1408","DOI":"10.1109\/TGRS.2009.2030321","volume":"48","author":"Q. Huang","year":"2010","unstructured":"Huang Q, Qu L, Wu B, et al. UWB through-wall imaging based on compressive sensing. IEEE Trans Geosci Remote Sens, 2010, 48: 1408\u20131415","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR118","unstructured":"Jiang C L, Jiang H, Zhang B C, et al. SNR analysis for SAR imaging from raw data via compressed sensing. In: Proc of European Conference on Synthetic Aperture Radar (EUSAR), Nuremberg, 2012"},{"key":"4633_CR119","unstructured":"Austin C D, Ertin E, Moses R L. Sparse Multipass 3D SAR imaging: applications to the GOTCHA data set. In: Proc SPIE, 2009. 7337"},{"issue":"10","key":"4633_CR120","doi-asserted-by":"crossref","first-page":"3824","DOI":"10.1109\/TGRS.2010.2048575","volume":"48","author":"L. Zhang","year":"2010","unstructured":"Zhang L, Xing M, Qiu C W, et al. Resolution enhancement for inversed synthetic aperture radar imaging under low SNR via improved compressive sensing. IEEE Trans Geosci Remote Sens, 2010. 48,10: 3824\u20133838","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR121","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1049\/el.2010.2850","volume":"46","author":"X. C. Xie","year":"2010","unstructured":"Xie X C, Zhang Y H. High-resolution imaging of moving train by ground-based radar with compressive sensing. Electron Lett, 2010, 46: 529\u2013531","journal-title":"Electron Lett"},{"key":"4633_CR122","doi-asserted-by":"crossref","first-page":"4285","DOI":"10.1109\/TGRS.2010.2051231","volume":"48","author":"M. T. Alonso","year":"2010","unstructured":"Alonso M T, L\u00f3pez-Dekker P, Mallorqui J J. A novel strategy for radar imaging based on compressive sensing. IEEE Trans Geosci Remote Sens, 2010, 48: 4285\u20134295","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR123","unstructured":"Wu Y R, Xu Z B, Hong W, et al. Sparse SAR Imaging Algorithm based on SAR Raw Data Simulator (in Chinese). China Patent, 201110182202.9. 2012"},{"key":"4633_CR124","unstructured":"Andrecut M. Fast GPU implementation of sparse signal recovery from random projections. ArXiv: 08091833, 2008. http:\/\/arxiv.org\/pdf\/0809.1833"},{"key":"4633_CR125","unstructured":"Borghi A, Darbon J, Peyronnet S, et al. A Simple Compressive Sensing Algorithm for Parallel Many-Core Architectures. Technical Report. 2008. http:\/\/www-micrel.deis.unibo.it\/benini\/files\/MD\/cam08-64.pdf"},{"key":"4633_CR126","doi-asserted-by":"crossref","unstructured":"Liu B, Zou Y M, Ying L. SparseSENSE: application of compressed sensing in parallel MRI. In: Proc of International Conference on Information Technology and Applications in Biomedicine (ITAB), Shenzhen, 2008. 127\u2013130","DOI":"10.1109\/ITAB.2008.4570588"},{"key":"4633_CR127","doi-asserted-by":"crossref","first-page":"1135","DOI":"10.1002\/mrm.22481","volume":"64","author":"C. H. Chang","year":"2010","unstructured":"Chang C H, Ji J. Compressed sensing MRI with multichannel data using multicore processors. Magn Reson Med, 2010, 64: 1135\u20131139","journal-title":"Magn Reson Med"},{"key":"4633_CR128","doi-asserted-by":"crossref","first-page":"2231","DOI":"10.1109\/TIT.2004.834793","volume":"50","author":"J. A. Tropp","year":"2004","unstructured":"Tropp J A. Greed is good: Algorithmic results for sparse approximation. IEEE Trans Inf Theory, 2004, 50: 2231\u20132242","journal-title":"IEEE Trans Inf Theory"},{"key":"4633_CR129","doi-asserted-by":"crossref","first-page":"5030","DOI":"10.1109\/TSP.2010.2052460","volume":"58","author":"Z. Ben-Haim","year":"2010","unstructured":"Ben-Haim Z, Eldar Y C, Elad M. Coherence-based performance guarantees for estimating a sparse vector under random noise. IEEE Trans Signal Process, 2010, 58: 5030\u20135043","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR130","volume-title":"Introduction to Phase Transitions and Critical Phenomena","author":"H. E. Stanley","year":"1987","unstructured":"Stanley H E. Introduction to Phase Transitions and Critical Phenomena. Oxford: Oxford Press, 1987"},{"key":"4633_CR131","doi-asserted-by":"crossref","unstructured":"Donoho D, Stodden V. Breakdown point of model selection when the number of variables exceeds the number of observations. In: Proc of IEEE International Joint Conference on Neural Network (IJCNN), Vancouver, 2006. 1916\u20131921","DOI":"10.1109\/IJCNN.2006.246934"},{"key":"4633_CR132","unstructured":"Donoho D L, Tsaig Y. Fast Solution of L1-Norm Minimization Problems When the Solution May Be Sparse. Technical Report. Dept. of Statistics, Stanford University, 2006. http:\/\/www-dsp.rice.edu\/files\/cs\/FastL1.pdf"},{"key":"4633_CR133","doi-asserted-by":"crossref","first-page":"4273","DOI":"10.1098\/rsta.2009.0152","volume":"367","author":"D. Donoho","year":"2009","unstructured":"Donoho D, Tanner J. Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing. Philosoph Trans Royal Soc A Math Phys Engin Sci, 2009, 367: 4273\u20134293","journal-title":"Philosoph Trans Royal Soc A Math Phys Engin Sci"},{"key":"4633_CR134","doi-asserted-by":"crossref","first-page":"4449","DOI":"10.1098\/rsta.2009.0129","volume":"367","author":"D. Donoho","year":"2009","unstructured":"Donoho D, Jin J. Feature selection by higher criticism thresholding achieves the optimal phase diagram. Philosoph Trans Royal Soc A Math Phys Engin Sci, 2009, 367: 4449\u20134470","journal-title":"Philosoph Trans Royal Soc A Math Phys Engin Sci"},{"key":"4633_CR135","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1109\/TGRS.2011.2160183","volume":"50","author":"X. X. Zhu","year":"2012","unstructured":"Zhu X X, Bamler R. Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR. IEEE Trans Geosci Remote Sens, 2012, 50: 247\u2013258","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR136","doi-asserted-by":"crossref","first-page":"2275","DOI":"10.1109\/TSP.2009.2014277","volume":"57","author":"M. A. Herman","year":"2009","unstructured":"Herman M A, Strohmer T. High-resolution radar via compressed sensing. IEEE Trans Signal Process, 2009, 57: 2275\u20132284","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR137","volume-title":"Study on Processing Algorithm and Analysis of Imaging Performance of Compressed Sensing Radar via Information Theory","author":"H. Jiang","year":"2011","unstructured":"Jiang H. Study on Processing Algorithm and Analysis of Imaging Performance of Compressed Sensing Radar via Information Theory. Master\u2019s thesis. Beijing: Institute of Electronics, Chinese Academy of Sciences, 2011"},{"key":"4633_CR138","doi-asserted-by":"crossref","first-page":"1801","DOI":"10.1007\/s11432-012-4634-3","volume":"55","author":"C. L. Jiang","year":"2012","unstructured":"Jiang C L, Zhang B C, Zhang Z, et al. Experimental results and analysis of Sparse Microwave Imaging from spaceborne radar raw data. Sci China Inf Sci, 2012, 55: 1801\u20131815","journal-title":"Sci China Inf Sci"},{"key":"4633_CR139","unstructured":"Zhang B C, Hong W, Wu Y R, et al. A Radar Imaging Azimuth Ambiguity Reducing Method Based on \u2113 q Regularization (in Chinese). China Patent, 201110310655.5. 2012."},{"key":"4633_CR140","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/s11432-011-4452-z","volume":"55","author":"Y. G. Lin","year":"2012","unstructured":"Lin Y G, Zhang B C, Jiang H, et al. Multi-channel SAR imaging based on distributed compressive sensing. Sci China Inf Sci, 2012, 55: 245\u2013259","journal-title":"Sci China Inf Sci"},{"key":"4633_CR141","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1049\/el.2010.2448","volume":"46","author":"Y. G. Lin","year":"2010","unstructured":"Lin Y G, Zhang B C, Hong W, et al. Along-track interferometric SAR imaging based on distributed compressed sensing. Electron Lett, 2010, 46: 85\u2013860","journal-title":"Electron Lett"},{"key":"4633_CR142","volume-title":"Study on Multi-channel SAR Imaging Based on Compressive Sensing","author":"Y. G. Lin","year":"2011","unstructured":"Lin Y G. Study on Multi-channel SAR Imaging Based on Compressive Sensing. Ph.D. thesis. Beijing: Institute of Electronics, Chinese Academy of Sciences, 2011"},{"key":"4633_CR143","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1029\/RS019i005p01347","volume":"19","author":"N. H. Farhat","year":"1984","unstructured":"Farhat N H, Werner C L, Chu T H. Prospects for three-dimensional projective and tomographic imaging radar networks. Radio Sci, 1984, 19: 1347\u20131355","journal-title":"Radio Sci"},{"key":"4633_CR144","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1109\/7.481296","volume":"32","author":"B. R. Mahafza","year":"1996","unstructured":"Mahafza B R, Sajjadi M. Three-dimensional SAR imaging using linear array in transverse motion. IEEE Trans Aerosp Electron Syst, 1996, 32: 499\u2013510","journal-title":"IEEE Trans Aerosp Electron Syst"},{"key":"4633_CR145","doi-asserted-by":"crossref","first-page":"2142","DOI":"10.1109\/36.868873","volume":"38","author":"A. Reigber","year":"2000","unstructured":"Reigber A, Moreira A. First demonstration of airborne SAR tomography using multibaseline L-band data. IEEE Trans Geosci Remote Sens, 2000, 38: 2142\u20132152","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR146","doi-asserted-by":"crossref","first-page":"3839","DOI":"10.1109\/TGRS.2010.2048117","volume":"48","author":"X. X. Zhu","year":"2010","unstructured":"Zhu X X, Bamler R. Tomographic SAR inversion by L1-norm regularization \u2014 the compressive sensing approach. IEEE Trans Geosci Remote Sens, 2010, 48: 3839\u20133846","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR147","doi-asserted-by":"crossref","unstructured":"Baselice F, Ferraioli G, Pascazio V. Three dimensional reconstruction using COSMO-SkyMed high-resolution data. In: Proceedings of Microwaves, Radar and Remote Sensing Symposium (MRRS), 2011. 161\u2013164","DOI":"10.1109\/MRRS.2011.6053625"},{"key":"4633_CR148","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1109\/TGRS.2010.2054099","volume":"49","author":"A. Budillon","year":"2011","unstructured":"Budillon A, Evangelista A, Schirinzi G. Three-dimensional SAR focusing from multipass signals using compressive sampling. IEEE Trans Geosci Remote Sens, 2011, 49: 488\u2013499","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR149","unstructured":"Zhu X X, Bamler R. Very High Resolution SAR tomography via compressive sensing. In: Proc of Fringe Workshop Advances in the Science and Applications of SAR Interferometry, Frascati, 2009"},{"key":"4633_CR150","doi-asserted-by":"crossref","unstructured":"Zhu X X, Bamler R. Compressive sensing for high resolution differential SAR tomography-the SL1MMER algorithm. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Honolulu, 2010. 17\u201320","DOI":"10.1109\/IGARSS.2010.5654021"},{"key":"4633_CR151","unstructured":"Zhu X X, Bamler R. Within the resolution cell: Super-resolution in tomographic SAR imaging. In: Proc of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, 2011. 2401\u20132404"},{"key":"4633_CR152","doi-asserted-by":"crossref","unstructured":"Zhu X X, Bamler R. Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban Environment. IEEE Trans Geosci Remote Sens, 2012, in press","DOI":"10.1109\/TGRS.2011.2177843"},{"key":"4633_CR153","doi-asserted-by":"crossref","unstructured":"Khomchuk P, Bilik I, Kasilingam D. Compressive sensing-based SAR tomography. In: Proc of IEEE Radar Conference, Washington, 2010. 354\u2013358","DOI":"10.1109\/RADAR.2010.5494598"},{"key":"4633_CR154","volume-title":"Study on Theory and Algorithms for Three-Dimensional Synthetic Aperture Radar Imaging","author":"W. X. Tan","year":"2009","unstructured":"Tan W X. Study on Theory and Algorithms for Three-Dimensional Synthetic Aperture Radar Imaging. Ph.D. thesis. Beijing: Institute of Electronics, Chinese Academy of Science, 2009"},{"key":"4633_CR155","volume-title":"High Resolution Radar","author":"D. R. Wehner","year":"1987","unstructured":"Wehner D R. High Resolution Radar. Norwood: Artech House Inc, 1987"},{"key":"4633_CR156","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1109\/LGRS.2009.2021584","volume":"6","author":"L. Zhang","year":"2009","unstructured":"Zhang L, Xing M, Qiu C W, et al. Achieving higher resolution ISAR imaging with limited pulses via compressed sampling. IEEE Geosci Remote Sens Lett, 2009, 6: 567\u201371","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"4633_CR157","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1109\/LGRS.2010.2085076","volume":"8","author":"H. Wang","year":"2011","unstructured":"Wang H, Quan Y, Xing M, et al. ISAR imaging via sparse probing frequencies. IEEE Geosci Remote Sens Lett, 2011, 8: 451\u2013455","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"4633_CR158","doi-asserted-by":"crossref","first-page":"4630","DOI":"10.1109\/TGRS.2011.2151865","volume":"49","author":"L. Zhang","year":"2011","unstructured":"Zhang L, Qiao Z, Xing M, et al. High-resolution ISAR imaging with sparse stepped-frequency waveforms. IEEE Trans Geosci Remote Sens, 2011, 49: 4630\u20134651","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR159","first-page":"997","volume":"60","author":"Z. Lei","year":"2011","unstructured":"Lei Z, Qiao Z, Xing M, et al. High resolution ISAR imaging by exploiting sparse apertures. IEEE Trans Anten Propag, 2011, 60: 997\u20131008","journal-title":"IEEE Trans Anten Propag"},{"key":"4633_CR160","doi-asserted-by":"crossref","unstructured":"Zhu F, Zhang Q, Xiang Y, et al. Compressive Sensing in ISAR spectrogram data transmission. In: Proc of Asian-Pacific Conference on Synthetic Aperture Radar (APSAR), Xi\u2019an, 2009. 89\u201392","DOI":"10.1109\/APSAR.2009.5374301"},{"key":"4633_CR161","doi-asserted-by":"crossref","first-page":"2327","DOI":"10.1109\/JSEN.2011.2136375","volume":"11","author":"F. Zhu","year":"2011","unstructured":"Zhu F, Zhang Q, Lei Q, et al. Reconstruction of moving target\u2019s HRRP using sparse frequency-stepped chirp signal. IEEE Sensors J, 2011, 11: 2327\u20132334","journal-title":"IEEE Sensors J"},{"key":"4633_CR162","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1049\/el.2011.0117","volume":"47","author":"F. Ye","year":"2011","unstructured":"Ye F, Liang D, Zhu J. ISAR enhancement technology based on compressed sensing. Electron Lett, 2011, 47: 620\u2013621","journal-title":"Electron Lett"},{"key":"4633_CR163","doi-asserted-by":"crossref","unstructured":"Rao W, Li G, Wang X, et al. ISAR imaging of uniformly rotating targets via parametric weighted L1 minimization. In: Proc of Asian-Pacific Conference on Synthetic Aperture Radar (APSAR), Seoul, 2011","DOI":"10.1109\/IGARSS.2011.6049557"},{"key":"4633_CR164","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1049\/ecej:19960402","volume":"8","author":"D. J. Daniels","year":"1996","unstructured":"Daniels D J. Surface-penetrating radar. Electron Commun Engin J, 1996, 8: 165\u2013182","journal-title":"Electron Commun Engin J"},{"key":"4633_CR165","doi-asserted-by":"crossref","DOI":"10.1049\/PBRA015E","volume-title":"Ground Penetrating Radar","author":"D. J. Daniels","year":"2004","unstructured":"Daniels D J. Ground Penetrating Radar. Herts: The Institution of Engineering and Technology, 2004"},{"key":"4633_CR166","doi-asserted-by":"crossref","first-page":"1959","DOI":"10.1016\/j.sigpro.2009.03.030","volume":"89","author":"A. C. Gurbuz","year":"2009","unstructured":"Gurbuz A C, McClellan J H, Scott W R. Compressive sensing for subsurface imaging using ground penetrating radar. Signal Process, 2009, 89: 1959\u20131972","journal-title":"Signal Process"},{"key":"4633_CR167","doi-asserted-by":"crossref","first-page":"S99","DOI":"10.1088\/0266-5611\/20\/6\/S07","volume":"20","author":"X. Feng","year":"2004","unstructured":"Feng X, Sato M. Pre-stack migration applied to GPR for landmine detection. Inverse Problem, 2004, 20: S99","journal-title":"Inverse Problem"},{"key":"4633_CR168","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1190\/1.1440826","volume":"43","author":"R. H. Stolt","year":"1978","unstructured":"Stolt R H. Migration by Fourier transform. Geophysics, 1978, 43: 23\u201348","journal-title":"Geophysics"},{"key":"4633_CR169","doi-asserted-by":"crossref","unstructured":"Gurbuz A C, McClellan J H, Scott W R. Compressive sensing for GPR imaging. In: Conference Record of Asilomar Conference on Signals, Systems and Computers (ACSSC), Pacific Grove, 2007. 2223\u20132227","DOI":"10.1109\/ACSSC.2007.4487636"},{"key":"4633_CR170","doi-asserted-by":"crossref","unstructured":"Gurbuz A C, McClellan J H, Scott W R. GPR imaging using compressed measurements. In: Proc of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Boston, 2008. 11\u201313","DOI":"10.1109\/IGARSS.2008.4778915"},{"key":"4633_CR171","unstructured":"Suksmono A B, Bharata E, Lestari A A, et al. A compressive SFCW-GPR system. In: Proc of 12th Int Conf on Ground Penet Radar, Birmingham, 2008. 16\u201319"},{"key":"4633_CR172","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1109\/LGRS.2010.2045340","volume":"7","author":"A. B. Suksmono","year":"2010","unstructured":"Suksmono A B, Bharata E, Lestari A A, et al. Compressive stepped-frequency continuous-wave ground-penetrating radar. IEEE Geosci Remote Sens Lett, 2010, 7: 665\u2013669","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"4633_CR173","doi-asserted-by":"crossref","first-page":"2640","DOI":"10.1109\/TSP.2009.2016270","volume":"57","author":"A. C. Gurbuz","year":"2009","unstructured":"Gurbuz A C, McClellan J H, Scott W R. A compressive sensing data acquisition and imaging method for stepped frequency GPRs. IEEE Trans Signal Process, 2009, 57: 2640\u20132650","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR174","doi-asserted-by":"crossref","unstructured":"Soldovieri F, Solimene R, Ahmad F. A fast data acquisition and processing scheme for through-the-wall radar imaging. In: Proc SPIE, 2011. 8021","DOI":"10.1117\/12.883746"},{"key":"4633_CR175","doi-asserted-by":"crossref","unstructured":"Varshney K R, CII J W, et al. Joint image formation and anisotropy characterization in wide-angle SAR. In: Proc SPIE, 2006. 6237","DOI":"10.1117\/12.663974"},{"key":"4633_CR176","unstructured":"Stojanovic I, C Proceedings of SPIE, 2008. 6970"},{"key":"4633_CR177","doi-asserted-by":"crossref","first-page":"1252","DOI":"10.1109\/83.506760","volume":"5","author":"M. Soumekh","year":"1996","unstructured":"Soumekh M. Reconnaissance with slant plane circular SAR imaging. IEEE Trans Image Process, 1996, 5: 1252\u20131265","journal-title":"IEEE Trans Image Process"},{"key":"4633_CR178","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.1109\/JPROC.2009.2037526","volume":"98","author":"L. C. Potter","year":"2010","unstructured":"Potter L C, Ertin E, Parker J T, et al. Sparsity and compressed sensing in radar imaging. Proc IEEE, 2010, 98: 1006\u20131020","journal-title":"Proc IEEE"},{"key":"4633_CR179","unstructured":"Lin Y, Hong W, Tan W X, et al. Compressed sensing technique for circular SAR imaging. In: Proc of IET International Radar Conference, Guilin, 2009"},{"key":"4633_CR180","volume-title":"Study on Algorithms for Circular Synthetic Aperture Radar Imaging","author":"Y. Lin","year":"2011","unstructured":"Lin Y. Study on Algorithms for Circular Synthetic Aperture Radar Imaging. Ph.D. thesis. Beijing: Institute of Electronics, Chinese Academy of Sciences, 2011"},{"key":"4633_CR181","unstructured":"Fishler E, Haimovich A, Blum R, et al. MIMO radar: An idea whose time has come. In: Proc of IEEE Radar Conference, Philadelphia, 2004. 71\u201378"},{"key":"4633_CR182","volume-title":"MIMO Radar Signal Processing","author":"J. Li","year":"2009","unstructured":"Li J, Stoica P. MIMO Radar Signal Processing. Hoboken: Wiley, 2009"},{"key":"4633_CR183","unstructured":"Bliss D W, Forsythe K W. Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution. In: Conference Record of Asilomar Conference on Signals, Systems and Computers (ACSSC), Pacific Grove, 2003. 54\u201359"},{"key":"4633_CR184","doi-asserted-by":"crossref","unstructured":"Chen C Y, Vaidyanathan P P. Compressed sensing in MIMO radar. In: Conference Record of Asilomar Conference on Signals, Systems and Computers (ACSSC), Pacific Grove, 2008. 41\u201344","DOI":"10.1109\/ACSSC.2008.5074356"},{"key":"4633_CR185","doi-asserted-by":"crossref","unstructured":"Strohmer T, Friedlander B. Compressed sensing for MIMO radar-algorithms and performance. In: Conference Record of Asilomar Conference on Signals, Systems and Computers (ACSSC), Pacific Grove, 2009. 464\u2013468","DOI":"10.1109\/ACSSC.2009.5469862"},{"key":"4633_CR186","doi-asserted-by":"crossref","unstructured":"Petropulu A P, Yu Y, Poor H V. Distributed MIMO radar using compressive sampling. In: Conference Record of Asilomar Conference on Signals, Systems and Computers (ACSSC), Pacific Grove, 2008. 203\u2013207","DOI":"10.1109\/ACSSC.2008.5074392"},{"key":"4633_CR187","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1109\/JSTSP.2009.2038973","volume":"4","author":"Y. Yu","year":"2010","unstructured":"Yu Y, Petropulu A, Poor H V. MIMO radar using compressive sampling. IEEE J Sel Top Signal Process, 2010, 4: 146\u2013163","journal-title":"IEEE J Sel Top Signal Process"},{"key":"4633_CR188","doi-asserted-by":"crossref","first-page":"5338","DOI":"10.1109\/TSP.2011.2162328","volume":"59","author":"Y. Yu","year":"2011","unstructured":"Yu Y, Petropulu A, Poor H. Measurement matrix design for compressive sensing based MIMO radar. IEEE Trans Signal Process, 2011, 59: 5338\u20135352","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR189","doi-asserted-by":"crossref","first-page":"5315","DOI":"10.1109\/TSP.2011.2164070","volume":"59","author":"S. Gogineni","year":"2011","unstructured":"Gogineni S, Nehorai A. Target estimation using sparse modeling for distributed MIMO radar. IEEE Trans Signal Process, 2011, 59: 5315\u20135325","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR190","doi-asserted-by":"crossref","first-page":"1088","DOI":"10.1109\/TSP.2010.2096218","volume":"59","author":"X. Tan","year":"2011","unstructured":"Tan X, Roberts W, Li J, et al. Sparse learning via iterative minimization with application to MIMO radar imaging. IEEE Trans Signal Process, 2011, 59: 1088\u20131101","journal-title":"IEEE Trans Signal Process"},{"key":"4633_CR191","doi-asserted-by":"crossref","unstructured":"Berger C R, Zhou S, Willett P. Signal extraction using compressed sensing for passive radar with OFDM signals. In: Proc of 11th International Conference on Information Fusion, Cologne, 2008","DOI":"10.1109\/ACSSC.2008.5074394"},{"key":"4633_CR192","doi-asserted-by":"crossref","unstructured":"Xu H, He X, Yin Z, et al. Compressive sensing MIMO radar imaging based on inverse scattering model. In: Proc of IEEE International Conference on Signal Processing (ICSP), Beijing, 2010. 1999\u20132002","DOI":"10.1109\/ICOSP.2010.5655897"},{"key":"4633_CR193","unstructured":"Wang J, Li G, Zhang H, et al. SAR Imaging of Moving Targets via Compressive Sensing. ArXiv: 11041074, 2011. http:\/\/arxiv.org\/pdf\/1104.1074"},{"key":"4633_CR194","doi-asserted-by":"crossref","first-page":"2848","DOI":"10.1109\/TIM.2011.2122190","volume":"60","author":"A. S. Khwaja","year":"2011","unstructured":"Khwaja A S, Ma J. Applications of compressed sensing for SAR moving-target velocity estimation and image compression. IEEE Trans Instrum Meas, 2011, 60: 2848\u20132860","journal-title":"IEEE Trans Instrum Meas"},{"key":"4633_CR195","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1109\/JSTSP.2009.2038982","volume":"4","author":"I. Stojanovic","year":"2010","unstructured":"Stojanovic I, Karl W C. Imaging of moving targets with multi-static SAR using an overcomplete dictionary. IEEE J Sel Top Signal Process, 2010, 4: 164\u2013176","journal-title":"IEEE J Sel Top Signal Process"},{"key":"4633_CR196","doi-asserted-by":"crossref","unstructured":"Ferrara M, Jackson J, Stuff M. Three-dimensional sparse-aperture moving-target imaging. In: Proceedings of SPIE, 2008. 6970","DOI":"10.1117\/12.786289"},{"key":"4633_CR197","doi-asserted-by":"crossref","first-page":"1266","DOI":"10.1109\/36.469491","volume":"33","author":"U. Benz","year":"1995","unstructured":"Benz U, Strodl K, Moreira A. A comparison of several algorithms for SAR raw data compression. IEEE Trans Geosci Remote Sens, 1995, 33: 1266\u20131276","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR198","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1109\/36.29557","volume":"27","author":"R. Kwok","year":"1989","unstructured":"Kwok R, Johnson W. Block adaptive quantization of Magellan SAR data. IEEE Trans Geosci Remote Sens, 1989, 27: 375\u2013383","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"4633_CR199","doi-asserted-by":"crossref","unstructured":"Bhattacharya S, Blumensath T, Mulgrew B, et al. Fast encoding of synthetic aperture radar raw data using compressed sensing. In: Proc of 14th IEEE Workshop on Statistical Signal Processing, Madison, 2007. 448\u2013452","DOI":"10.1109\/SSP.2007.4301298"},{"key":"4633_CR200","doi-asserted-by":"crossref","unstructured":"Bhattacharya S, Blumensath T, Mulgrew B, et al. Synthetic aperture radar raw data encoding using compressed sensing. In: Proc of IEEE Radar Conference, Rome, 2008","DOI":"10.1109\/RADAR.2008.4720896"},{"key":"4633_CR201","unstructured":"Sarvotham S, Baron D, Baraniuk R G. Measurements vs. bits: Compressed sensing meets information theory. In: Proc of 44th Allerton Conf Comm Ctrl Computing, Monticello, 2006"},{"key":"4633_CR202","doi-asserted-by":"crossref","first-page":"5728","DOI":"10.1109\/TIT.2009.2032816","volume":"55","author":"M. J. Wainwright","year":"2009","unstructured":"Wainwright M J. Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting. IEEE Trans Inf Theory, 2009, 55: 5728\u20135741","journal-title":"IEEE Trans Inf Theory"},{"key":"4633_CR203","doi-asserted-by":"crossref","first-page":"5111","DOI":"10.1109\/TIT.2010.2059891","volume":"56","author":"S. Aeron","year":"2010","unstructured":"Aeron S, Saligrama V, Zhao M. Information theoretic bounds for compressed sensing. IEEE Trans Inf Theory, 2010, 56: 5111\u20135130","journal-title":"IEEE Trans Inf Theory"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-012-4633-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11432-012-4633-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-012-4633-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T21:10:34Z","timestamp":1743801034000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11432-012-4633-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,7,19]]},"references-count":203,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2012,8]]}},"alternative-id":["4633"],"URL":"https:\/\/doi.org\/10.1007\/s11432-012-4633-4","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,7,19]]}}}